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Model card on Hugging Face
Qwen 3.8 Flash Next
by Alibaba
Chat
Vision
Tools
Thinking
Qwen 3.8 Flash Next is Alibaba's next-generation flagship model, a hybrid mixture-of-experts design that activates only a fraction of its parameters per token for efficient long-context inference. It reads images as well as text and reasons step by step by default, with its thinking mode switchable off for direct answers. It supports native tool use across a 262K-token context, targeting demanding agentic and multimodal work.
- Publisher
- Alibaba
- API model name
- qwen3.8-flash-next:177b
- Context window
- 256K tokens
- Sizes
- 177B
- Licence
- qwen-community-1.0
Run Qwen 3.8 Flash Next
Install it on a Pendra worker, then call it through the OpenAI-compatible API with a pdr_sk_ key.
Chat
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.chat.completions.create(
model="qwen3.8-flash-next:177b",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Vision
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.chat.completions.create(
model="qwen3.8-flash-next:177b",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's in this image?"},
{"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}},
],
}
],
)
print(response.choices[0].message.content)Run Qwen 3.8 Flash Next on your own UK infrastructure
Deploy a worker, install Qwen 3.8 Flash Next, and start serving it through one sovereign API endpoint.